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Article
License: CC BY NC
Data sources: UnpayWall
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https://doaj.org/article/6fa6c...
Article . 2014
Data sources: DOAJ
https://doi.org/10.5862/mce.48...
Article . 2014 . Peer-reviewed
Data sources: Crossref
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The selection of soil models parameters in Plaxis 2D

Authors: O.V. Sokolova;

The selection of soil models parameters in Plaxis 2D

Abstract

Finite element method is often used to solve complex geotechnical problems. The application of FEM-based programs demands special attention to setting models parameters and simulating soil behavior. The paper considers the problem of the model selection to describe the behavior of soils when calculating soil settlement in the check task, referring to complicated geotechnical conditions of Saint Petersburg. The obtained settlement values in Linear Elastic model, Mohr – Coulomb model, Hardening Soil model and Hardening Soil Small model were compared. The paper presents results of calibrating parameters for a geotechnical model obtained on the data of compression testing. The necessity of prior calculations to evaluate the accuracy of a soil model is confirmed.

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Keywords

computational modeling, Building construction, model parameters, Hardening Soil model, Mohr – Coulomb model, TA1-2040, calibration, Engineering (General). Civil engineering (General), TH1-9745

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Top 10%
Average
gold